Application and Decision-Making Implications of Novel Optimization Models in Public Health
Computational & Mathematical Methods in Medicine
; : 1-2, 2022.
Article
in English
| Academic Search Complete | ID: covidwho-1807715
ABSTRACT
Optimizing the results of public health management is a goal of many managers. I The first article i by Xiaobo Lai et al. proposed a digital breast tomosynthesis (DBT) image automatic segmentation algorithm using a U-Net architecture to improve automatic breast mass segmentation accuracy in DBT imaging. The principal component analysis (PCA) algorithm was used and tested comparatively between the following machine learning algorithms logistic regression, decision tree, neural network, KNN, and random forest. [Extracted from the article] Copyright of Computational & Mathematical Methods in Medicine is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Full text:
Available
Collection:
Databases of international organizations
Database:
Academic Search Complete
Language:
English
Journal:
Computational & Mathematical Methods in Medicine
Year:
2022
Document Type:
Article
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